Challenges and Innovations in Multi-Patterning Lithography for Advanced Node Technologies: Addressing Line Edge Roughness and Critical Dimension Variability

Abstract

 As semiconductor manufacturing advances to smaller technology nodes, Multi-Patterning Lithography (MPL) has become essential 
for extending the capabilities of optical lithography. However, MPL introduces significant challenges, including Line Edge 
Roughness (LER) and Critical Dimension (CD) variability, which can impact device performance and yield. This study explores 
the technical hurdles associated with MPL and examines emerging innovations to mitigate these effects. Advanced process control 
strategies, including computational lithography, machine learning-driven metrology, and novel resist materials, are evaluated for their 
effectiveness in improving pattern fidelity. Additionally, the role of self-aligned patterning techniques, etch process optimizations, 
and next-generation lithographic solutions, such as Extreme Ultraviolet (EUV) and high-NA lithography, is analyzed. This research 
provides insights into the evolving landscape of semiconductor fabrication, emphasizing the balance between cost, complexity, and 
precision in achieving high-resolution, high-yield manufacturing for advanced node technologies.